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--- |
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language: |
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- zh |
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license: apache-2.0 |
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tags: |
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- whisper-event |
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- generated_from_trainer |
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datasets: |
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- mozilla-foundation/common_voice_11_0 |
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metrics: |
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- wer |
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base_model: openai/whisper-large-v2 |
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model-index: |
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- name: Whisper large-v2 nan-tw |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: mozilla-foundation/common_voice_11_0 nan-tw |
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type: mozilla-foundation/common_voice_11_0 |
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config: nan-tw |
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split: train |
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args: nan-tw |
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metrics: |
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- type: wer |
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value: 42.592995431803345 |
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name: Wer |
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- type: cer |
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value: 23.297031817211188 |
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name: Cer |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Whisper large-v2 nan-tw |
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This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the mozilla-foundation/common_voice_11_0 nan-tw dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7525 |
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- Wer: 42.5930 |
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- Cer: 23.2970 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 5000 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
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| 0.4781 | 1.04 | 1000 | 0.7256 | 52.4690 | 28.7583 | |
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| 0.1881 | 2.08 | 2000 | 0.7346 | 50.2067 | 26.6389 | |
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| 0.0429 | 3.13 | 3000 | 0.7094 | 45.3557 | 24.7811 | |
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| 0.0112 | 5.01 | 4000 | 0.7416 | 44.4203 | 24.6850 | |
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| 0.0011 | 6.05 | 5000 | 0.7525 | 42.5930 | 23.2970 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.8.0 |
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- Tokenizers 0.13.2 |
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